Virginia Chu

11 total papers · 520 total citations
6 papers, 367 citations indexed

About

Virginia Chu is a scholar working on Hepatology, Infectious Diseases and Surgery. According to data from OpenAlex, Virginia Chu has authored 6 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Hepatology, 2 papers in Infectious Diseases and 1 paper in Surgery. Recurrent topics in Virginia Chu's work include Hepatitis C virus research (5 papers), Liver physiology and pathology (2 papers) and HIV/AIDS drug development and treatment (2 papers). Virginia Chu is often cited by papers focused on Hepatitis C virus research (5 papers), Liver physiology and pathology (2 papers) and HIV/AIDS drug development and treatment (2 papers). Virginia Chu collaborates with scholars based in United States, Taiwan and China. Virginia Chu's co-authors include T. Jake Liang, Arnaud Carpentier, Ila Nimgaonkar, Zongyi Hu, Stephen M. Feinstone, Seung Bum Lee, Fang Zhang, Abeba Tesfaye, Snorri S. Thorgeirsson and Yuchen Xia and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Science Translational Medicine.

In The Last Decade

Virginia Chu

6 papers receiving 364 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Virginia Chu 176 148 115 69 65 6 367
Sérena Battaglia 192 1.1× 120 0.8× 142 1.2× 47 0.7× 21 0.3× 9 373
Claudia Santini 111 0.6× 134 0.9× 122 1.1× 27 0.4× 31 0.5× 9 392
Helen Cha 192 1.1× 162 1.1× 153 1.3× 16 0.2× 41 0.6× 6 393
Maurizio Vacca 92 0.5× 128 0.9× 117 1.0× 28 0.4× 31 0.5× 11 427
Ta‐Yu Yang 177 1.0× 254 1.7× 204 1.8× 18 0.3× 58 0.9× 8 443
Wakana Saso 206 1.2× 110 0.7× 292 2.5× 23 0.3× 93 1.4× 10 430
Catherine Sodroski 134 0.8× 164 1.1× 144 1.3× 10 0.1× 59 0.9× 10 387
Sumedha Bagga 84 0.5× 108 0.7× 173 1.5× 11 0.2× 60 0.9× 9 356
Buhle Moyo 51 0.3× 327 2.2× 115 1.0× 8 0.1× 39 0.6× 9 426
Mio Ohki 207 1.2× 74 0.5× 284 2.5× 14 0.2× 64 1.0× 10 378

Countries citing papers authored by Virginia Chu

Since Specialization
Citations

This map shows the geographic impact of Virginia Chu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Virginia Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virginia Chu more than expected).

Fields of papers citing papers by Virginia Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Virginia Chu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Virginia Chu. The network helps show where Virginia Chu may publish in the future.

Co-authorship network of co-authors of Virginia Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Virginia Chu. A scholar is included among the top collaborators of Virginia Chu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Virginia Chu. Virginia Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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